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Build by NVIDIA is a developer-focused platform showcasing blueprints and microservices for building AI-powered applications using NVIDIA’s NIM (NeMo Inference Microservices) ecosystem. It offers plug-and-play workflows like enterprise research agents, RAG pipelines, video summarization assistants, and AI-powered virtual assistants—all optimized for scalability, latency, and multimodal capabilities.

Build by NVIDIA is a developer-focused platform showcasing blueprints and microservices for building AI-powered applications using NVIDIA’s NIM (NeMo Inference Microservices) ecosystem. It offers plug-and-play workflows like enterprise research agents, RAG pipelines, video summarization assistants, and AI-powered virtual assistants—all optimized for scalability, latency, and multimodal capabilities.

Build by NVIDIA is a developer-focused platform showcasing blueprints and microservices for building AI-powered applications using NVIDIA’s NIM (NeMo Inference Microservices) ecosystem. It offers plug-and-play workflows like enterprise research agents, RAG pipelines, video summarization assistants, and AI-powered virtual assistants—all optimized for scalability, latency, and multimodal capabilities.

Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.

Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.

Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.

FinetuneFast.com is a platform designed to drastically reduce the time and complexity of launching AI models, enabling users to fine-tune and deploy machine learning models from weeks to just days. It provides a comprehensive ML boilerplate and a suite of tools for various AI applications, including text-to-image and Large Language Models (LLMs). The platform aims to accelerate the development, production, and monetization of AI applications by offering pre-configured training scripts, efficient data loading, optimized infrastructure, and one-click deployment solutions.

FinetuneFast.com is a platform designed to drastically reduce the time and complexity of launching AI models, enabling users to fine-tune and deploy machine learning models from weeks to just days. It provides a comprehensive ML boilerplate and a suite of tools for various AI applications, including text-to-image and Large Language Models (LLMs). The platform aims to accelerate the development, production, and monetization of AI applications by offering pre-configured training scripts, efficient data loading, optimized infrastructure, and one-click deployment solutions.

FinetuneFast.com is a platform designed to drastically reduce the time and complexity of launching AI models, enabling users to fine-tune and deploy machine learning models from weeks to just days. It provides a comprehensive ML boilerplate and a suite of tools for various AI applications, including text-to-image and Large Language Models (LLMs). The platform aims to accelerate the development, production, and monetization of AI applications by offering pre-configured training scripts, efficient data loading, optimized infrastructure, and one-click deployment solutions.


Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.


Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.


Stakly.dev is an AI-powered full-stack app builder that lets users design, code, and deploy web applications without writing manual boilerplate. You describe the app idea in plain language, set up data models, pages, and UI components through an intuitive interface, and Stakly generates production-ready code (including React front-end, Supabase or equivalent backend) and handles deployment to platforms like Vercel or Netlify. It offers a monthly free token allotment so you can experiment, supports live previews so you can see your app as you build, integrates with GitHub for code versioning, and is functional enough to build dashboards, SaaS tools, admin panels, and e-commerce sites. While not replacing full engineering teams for deeply custom or extremely large scale systems, Stakly lowers the technical barrier significantly: non-technical founders, product managers, solo makers, or small agencies can use Stakly to create usable, polished apps in minutes instead of weeks.


Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.


Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.


Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.

MI Team AI is a robust multi-LLM platform designed for enterprises seeking secure, scalable, and cost-effective AI access. It consolidates multiple AI models such as ChatGPT, Claude, Gemini, and various open-source large language models into a single platform, enabling users to switch seamlessly without juggling different tools. The platform supports deployment on private cloud or on-premises infrastructure to ensure complete data privacy and compliance. MI Team AI provides a unified workspace with role-based access controls, single sign-on (SSO), and comprehensive chat logs for transparency and auditability. It offers fixed licensing fees allowing unlimited team access under the company’s brand, making it ideal for organizations needing full control over AI usage.

MI Team AI is a robust multi-LLM platform designed for enterprises seeking secure, scalable, and cost-effective AI access. It consolidates multiple AI models such as ChatGPT, Claude, Gemini, and various open-source large language models into a single platform, enabling users to switch seamlessly without juggling different tools. The platform supports deployment on private cloud or on-premises infrastructure to ensure complete data privacy and compliance. MI Team AI provides a unified workspace with role-based access controls, single sign-on (SSO), and comprehensive chat logs for transparency and auditability. It offers fixed licensing fees allowing unlimited team access under the company’s brand, making it ideal for organizations needing full control over AI usage.

MI Team AI is a robust multi-LLM platform designed for enterprises seeking secure, scalable, and cost-effective AI access. It consolidates multiple AI models such as ChatGPT, Claude, Gemini, and various open-source large language models into a single platform, enabling users to switch seamlessly without juggling different tools. The platform supports deployment on private cloud or on-premises infrastructure to ensure complete data privacy and compliance. MI Team AI provides a unified workspace with role-based access controls, single sign-on (SSO), and comprehensive chat logs for transparency and auditability. It offers fixed licensing fees allowing unlimited team access under the company’s brand, making it ideal for organizations needing full control over AI usage.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

LLMChat is a privacy-focused, open-source AI chatbot platform designed for advanced research, agentic workflows, and seamless interaction with multiple large language models (LLMs). It offers users a minimalistic and intuitive interface enabling deep exploration of complex topics with modes like Deep Research and Pro Search, which incorporates real-time web integration for current data. The platform emphasizes user privacy by storing all chat history locally in the browser, ensuring conversations never leave the device. LLMChat supports many popular LLM providers such as OpenAI, Anthropic, Google, and more, allowing users to customize AI assistants with personalized instructions and knowledge bases for a wide variety of applications ranging from research to content generation and coding assistance.

Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.

Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.

Awan LLM is a cost-effective, unlimited token large language model inference API platform designed for power users and developers. Unlike traditional API providers that charge per token, Awan LLM offers a monthly subscription model that enables users to send and receive unlimited tokens up to the model's context limit. It supports unrestricted use of LLM models without censorship or constraints. The platform is built on privately owned data centers and GPUs, allowing it to offer efficient and scalable AI services. Awan LLM supports numerous use cases including AI assistants, AI agents, roleplaying, data processing, code completion, and building AI-powered applications without worrying about token limits or costs.


Stacker is a no-code application platform that enables businesses to build internal and external applications using AI-assisted tools and existing data sources. It allows teams to create functional apps for employees, customers, or partners without traditional software development. By combining no-code customization with AI-driven assistance, Stacker helps organizations streamline operations, improve workflows, and deploy tailored applications faster than conventional development approaches.


Stacker is a no-code application platform that enables businesses to build internal and external applications using AI-assisted tools and existing data sources. It allows teams to create functional apps for employees, customers, or partners without traditional software development. By combining no-code customization with AI-driven assistance, Stacker helps organizations streamline operations, improve workflows, and deploy tailored applications faster than conventional development approaches.


Stacker is a no-code application platform that enables businesses to build internal and external applications using AI-assisted tools and existing data sources. It allows teams to create functional apps for employees, customers, or partners without traditional software development. By combining no-code customization with AI-driven assistance, Stacker helps organizations streamline operations, improve workflows, and deploy tailored applications faster than conventional development approaches.


Langdock is an enterprise-ready AI platform that allows organizations to deploy AI securely across all employees while giving developers the tools to build and customize advanced AI workflows. It centralizes AI access, policy controls, and workflow automation into one system, making corporate AI adoption organized and compliant. Langdock supports custom workflows, integrations, and internal tools, ensuring that teams across departments can use AI productively while maintaining governance and security. It is designed for full organizational rollout—from individual employees to technical developer teams.


Langdock is an enterprise-ready AI platform that allows organizations to deploy AI securely across all employees while giving developers the tools to build and customize advanced AI workflows. It centralizes AI access, policy controls, and workflow automation into one system, making corporate AI adoption organized and compliant. Langdock supports custom workflows, integrations, and internal tools, ensuring that teams across departments can use AI productively while maintaining governance and security. It is designed for full organizational rollout—from individual employees to technical developer teams.


Langdock is an enterprise-ready AI platform that allows organizations to deploy AI securely across all employees while giving developers the tools to build and customize advanced AI workflows. It centralizes AI access, policy controls, and workflow automation into one system, making corporate AI adoption organized and compliant. Langdock supports custom workflows, integrations, and internal tools, ensuring that teams across departments can use AI productively while maintaining governance and security. It is designed for full organizational rollout—from individual employees to technical developer teams.

Synorex One is a private, secure AI workspace that provides access to multiple leading large language models within a single enterprise platform. Designed specifically to go beyond basic chatbot functionality, Synorex One offers a robust, flexible environment that allows organizations to leverage AI at scale. Teams can work with different models, manage data safely, build internal workflows, and generate business insights securely. The platform emphasizes privacy, enterprise readiness, and multi-model flexibility to support complex professional needs.

Synorex One is a private, secure AI workspace that provides access to multiple leading large language models within a single enterprise platform. Designed specifically to go beyond basic chatbot functionality, Synorex One offers a robust, flexible environment that allows organizations to leverage AI at scale. Teams can work with different models, manage data safely, build internal workflows, and generate business insights securely. The platform emphasizes privacy, enterprise readiness, and multi-model flexibility to support complex professional needs.

Synorex One is a private, secure AI workspace that provides access to multiple leading large language models within a single enterprise platform. Designed specifically to go beyond basic chatbot functionality, Synorex One offers a robust, flexible environment that allows organizations to leverage AI at scale. Teams can work with different models, manage data safely, build internal workflows, and generate business insights securely. The platform emphasizes privacy, enterprise readiness, and multi-model flexibility to support complex professional needs.
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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